| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA990006415360403321 |
|
|
Autore |
Amory, Patrick |
|
|
Titolo |
People and identity in ostrogothic Italy, 489-554 / Patrick Amory |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cambridge, : Cambridge University Press, 1997 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
XXI, 522 p. : ill. ; 24 cm |
|
|
|
|
|
|
Collana |
|
Cambridge studies in medieval life and thought , 4. Series |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Locazione |
|
|
|
|
|
|
|
|
Collocazione |
|
XXI A 788 |
DDR-VI C 025.30 |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910728934203321 |
|
|
Autore |
McGibney Daniel P. |
|
|
Titolo |
Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2023.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (286 pages) |
|
|
|
|
|
|
Collana |
|
International Series in Operations Research & Management Science, , 2214-7934 ; ; 337 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Operations research |
Regression analysis |
Business information services |
Business - Data processing |
Mathematical statistics - Data processing |
Operations Research and Decision Theory |
Linear Models and Regression |
IT in Business |
Business Analytics |
Statistics and Computing |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
Nota di contenuto |
|
1. Introduction -- 2. Basic Statistics and Functions using R -- 3. Regression Fundamentals -- 4. Simple Linear Regression -- 5. Multiple Regression -- 6. Estimation Intervals and Analysis of Variance -- 7. Predictor Variable Transformations -- 8. Model Diagnostics -- 9. Variable Selection. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes |
|
|
|
|
|
|
|
|
|
|
the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language. |
|
|
|
|
|
| |